# JSON-совместимый кодировщик { #json-compatible-encoder }

В некоторых случаях может потребоваться преобразование типа данных (например, Pydantic-модели) в тип, совместимый с JSON (например, `dict`, `list` и т.д.).

Например, если необходимо хранить его в базе данных.

Для этого **FastAPI** предоставляет функцию `jsonable_encoder()`.

## Использование `jsonable_encoder` { #using-the-jsonable-encoder }

# Codificador compatible con JSON { #json-compatible-encoder }

Hay algunos casos en los que podrías necesitar convertir un tipo de dato (como un modelo de Pydantic) a algo compatible con JSON (como un `dict`, `list`, etc).

Por ejemplo, si necesitas almacenarlo en una base de datos.

Para eso, **FastAPI** proporciona una función `jsonable_encoder()`.

## Usando el `jsonable_encoder` { #using-the-jsonable-encoder }

	return fmt.Errorf("%w (offline-disks=%d/%d)", writeErr, countErrs(p.errs, errDiskNotFound), len(p.writers))
}

// Encode reads from the reader, erasure-encodes the data and writes to the writers.
func (e *Erasure) Encode(ctx context.Context, src io.Reader, writers []io.Writer, buf []byte, quorum int) (total int64, err error) {
	writer := &multiWriter{
		writers:     writers,
		writeQuorum: quorum,

- The synthetic "Bookmark" event for the watch stream requests will now include a new annotation: `kubernetes.io/initial-events-list-blueprint`. THe annotation contains an empty, versioned list that is encoded in the requested format (such as protobuf, JSON, or CBOR), then base64-encoded and stored as a string. ([#127587](https://github.com/kubernetes/kubernetes/pull/127587), [@p0lyn0mial](https://github.com/p0lyn0mial)) [SIG API Machinery]

# Codificador Compatível com JSON { #json-compatible-encoder }

Existem alguns casos em que você pode precisar converter um tipo de dados (como um modelo Pydantic) para algo compatível com JSON (como um `dict`, `list`, etc).

Por exemplo, se você precisar armazená-lo em um banco de dados.

Para isso, **FastAPI** fornece uma função `jsonable_encoder()`.

## Usando a função `jsonable_encoder` { #using-the-jsonable-encoder }

	queryStr := strings.ReplaceAll(query.Encode(), "+", "%20")
	canonicalRequest := getCanonicalRequest(extractedSignedHeaders, unsignedPayload, queryStr, req.URL.Path, req.Method)
	stringToSign := getStringToSign(canonicalRequest, date, scope)
	signingKey := getSigningKey(secretAccessKey, date, region, serviceS3)
	signature := getSignature(signingKey, stringToSign)

	req.URL.RawQuery = query.Encode()

	// Add signature header to RawQuery.

同样，这个数据库也不会接收Pydantic模型（带有属性的对象），而只接收`dict`。

对此你可以使用`jsonable_encoder`。

它接收一个对象，比如Pydantic模型，并会返回一个JSON兼容的版本：

{* ../../docs_src/encoder/tutorial001_py310.py hl[4,21] *}

在这个例子中，它将Pydantic模型转换为`dict`，并将`datetime`转换为`str`。

같은 방식으로 이 데이터베이스는 Pydantic 모델(속성이 있는 객체)을 받지 않고, `dict` 만을 받습니다.

이를 위해 `jsonable_encoder` 를 사용할 수 있습니다.

Pydantic 모델과 같은 객체를 받고 JSON 호환 가능한 버전으로 반환합니다:

{* ../../docs_src/encoder/tutorial001.py hl[5,22] *}

이 예시는 Pydantic 모델을 `dict`로, `datetime` 형식을 `str`로 변환합니다.

     *
     * @return the decoded short integer value
     */
    public int dec_ndr_short() {
        align(2);
        final int val = Encdec.dec_uint16le(buf, index);
        advance(2);
        return val;
    }

    /**
     * Encodes a long integer (4 bytes) in NDR format.
     *
     * @param l the long integer value to encode
     */
    public void enc_ndr_long(final int l) {

     *
     * @return the decoded short integer value
     */
    public int dec_ndr_short() {
        align(2);
        final int val = Encdec.dec_uint16le(this.buf, this.index);
        advance(2);
        return val;
    }

    /**
     * Encodes a long integer (4 bytes) in NDR format.
     *
     * @param l the long integer value to encode
     */